The influence of the position and spectral sensitivity of sensors on the surveillance of water-disinfection plants with polychromatic ultraviolet radiation
Bibliographic record
Abstract
The standardization of water disinfection with polychromatic ultraviolet (UV) radiation has developed very rapidly during the past several years. The surveillance of irradiance and UV absorption in water by UV sensors is essential for safe water disinfection with medium pressure mercury UV lamps. In this study, calculations were carried out concerning the influence of the position of the sensor, the absorption spectrum of the water during the type testing and during the disinfection process in the water works, and the spectral sensitivity of the sensor on the measured values. This value represents a microbicidally weighted irradiance; this makes it possible to control the reduction equivalent fluence (REF), which is effective in the UV plant. It could be shown that an optimum path length of the water layer that is between the sensor and the UV source exists. This optimum is defined by equal dependence of the sensor signal on UV transmittance of the water compared to the dependence of the REF applied to the water on UV transmittance of the water. Key words: biodosimetry, Bacillus subtilis, UV sensors, spectral sensitivity, shouldered survival curves, polychromatic UV radiation, sensor position.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".